• After months of uncertainty, a Meta data scientist said she felt a sense of relief upon getting laid off.
• Moyan Chen said the loss of her job made her question what she wanted to do next.
• She's considering AI startups, seeing more risk in traditional data roles at big companies.

Moyan Chen was laid off from her role as a data scientist at Meta in May after just under a year on the job. The 24-year-old, who lives in New York City, isn't sure what she wants to do next. Business Insider has verified her identity and former employment. The following has been edited for brevity and clarity.

When the rumor of layoffs at Meta leaked in March, there was no timeline. Some of my colleagues and I were fearing Wednesdays because Meta has sometimes laid off people on those days. So, every Tuesday night, when I left work, I wondered if I would be coming back.

On Wednesday mornings, I would wake up early to check my email. That lasted for a month, until April, when there was a date for the layoffs: May 20. When the day finally came, and I got laid off, I was like, "This is it." It was more like relief than pain.

I feel like, ultimately, I lost my job to AI.

A lot of my coworkers were also impacted, and they're trying to find jobs. They are making posts on LinkedIn and asking for new opportunities. It feels like we are all sailing on the sea, and Meta is a huge ship that's moving very fast. When the AI storm comes, is your next move to jump to a smaller, slower ship?

Some people I worked with were saying it's better to find a job in finance because it takes longer for them to adopt AI. But ultimately, is the same thing going to happen to you?

A switch in my career path

After I got laid off, I wasn't that nervous, because I'm single and have no family in the US. My parents have been wanting me to go back to China anyway. That's the worst-case scenario because I love the US and the energy of New York City.

I don't know if I plan to find another job at a big company. I have interned at three of them, and now I don't want to climb the corporate ladder. I used to wonder, "How am I going to feed myself if I don't work for a big company?" That's why I didn't resign from Meta. I kept working, and I worked hard.

Now I feel like it's not safe anymore, like I can get laid off at any time. Meta has been very generous with severance, so I have a couple of months to figure out what I'll do next.

I don't think this layoff is a bad thing for me. It's more like a switch in my career path. It's making me see that I could live a different life, and it's probably better than the corporate life.

I'm still in a transition period and don't have all the answers. Seeing how AI is changing things, it makes me rethink the type of job I might want. I've started creating content online to document my career journey and what I'm learning about AI. I'm also interested in exploring career coaching to help people who are experiencing this transition brought about by this new technology.

The longer-term risk

Whatever I end up doing, I expect AI will have an impact. At Meta, I was a data scientist working on Instagram. For that kind of job, the more repetitive tasks are definitely going away. So, writing queries and spending time creating visualizations — these things have already been replaced by AI in Big Tech.

If you only know how to code, that's not enough. If you're just writing SQL queries, using Python, or tracking and analyzing metrics, it's not a very promising career anymore. There will still be a role called "data scientist," but they will need to know more about other functions. There is this emerging trend that requires us to have broader skills and knowledge because of AI.

It got to the point where I wouldn't check AI-generated queries because they have gotten so accurate. I thought that if AI made a mistake on a specific task, I would make 10. For big, ambiguous projects, AI would still make a lot of mistakes, but for specific tasks, it was super accurate. It's very much like a talented individual contributor.

I'm less interested in AI as a stand-alone technology and more interested in how it changes the way people work and build products. If I come across a team that aligns with my interests and values, I would seriously consider joining an AI startup.

Those companies can be risky, but staying at a big company doing traditional data analytics and reporting jobs just feels like I will be left behind. That's riskier in the long term.

Do you have a story to share about your career? Contact this reporter at tparadis@businessinsider.com.

• Marie Pabelonio, a Google editorial lead, graduated from college with an English degree in 2009.
• She highlights the value of her English degree in adapting to AI's impact in the tech industry.
• AI helps her meet deadlines and focus on the bigger picture, but a human touch is still essential.

This as-told-to essay is based on a conversation with Marie Pabelonio, a 38-year-old editorial lead at Google, based in the Bay Area. This story has been edited for length and clarity.

I've been at Google since 2019, and as a writer, I knew AI would affect my role.

Looking back on my career trajectory, it feels like nothing short of a miracle that I ended up where I am. I graduated with an English degree in 2009, right after the financial crisis, and I'm now an editorial lead in people operations at Google, where I co-lead a small team that drafts and editorializes about 4,500-plus pages of HR policies. I've used AI to automate processes, refine drafts, templatize, and meet deadlines that would be impossible otherwise.

At this point, anyone, regardless of whether they're a writer or not, has felt it: Is AI going to automate me? Is it going to eventually just replace my job? I don't think I work more or less because of AI; I just work very differently.

I was a humanities major and fell into Big Tech

The job market felt very volatile when I entered it, which I think a lot of young people entering the workforce today feel.

I didn't have a career plan. I was an English major because I loved reading and writing, and if I found a job where I could do that and build a specific skill set on top of it, I would be OK.

My first job was as a fact-checker for the publishing arm of an industrial supply company, and then I became a copywriter in the advertising and marketing space. In 2016, I moved from Chicago to the Bay Area and became an editor at Amazon's subsidiary, Goodreads. I stayed in the Bay Area and made my way to Google by 2019.

I wasn't surprised that AI changed my job right away

We've heard the word "unprecedented" so much in the last six years or so that nothing surprises me anymore, including AI.

My team works with stakeholders and policy designers to interpret and draft policies, whether they're return-to-office, hybrid work, or immigration policies. There are areas where AI is useful in our work, and the tool has helped us regain more strategic time by automating tactical parts of our process.

This includes training the AI on standard article structure, to include four sections like background, key details, process, and related resources, formatting consistencies, including where headlines, a bulleted list, or a table would be used, and five to seven non-negotiable details the user needs to know from the policy.

I think there's still a lot of room for that human touch in that process. Once I have the output, I spend my time on the more strategic pieces, like verifying tone and voice, determining whether the article actually achieves the user goal, and how it fits with the broader content strategy of other articles.

In our writing, the goal is to inject humanity and warmth as much as possible, especially when explaining human resources topics like an employee's health insurance, compensation, performance reviews, and career growth. AI can't do that by itself.

AI saved me when I had a tight deadline

Around the time we started using AI, I had a big project to update existing policies, and I was on a tight deadline. I spent a lot of time upfront strategizing about how I could use AI to accelerate my work and meet my goals.

To address the overwhelming number of first drafts, I used AI to template a structure for readability, created a checklist for tone, style, and quality, and because of that was able to focus more on streamlining stakeholder reviews to check for accuracy. I met my deadline with a few days to spare. This was when it clicked for me that AI was changing things in a huge way, when this deadline looked really impossible, and then it wasn't.

Still, there were many times I had to validate and tweak the outputs. I never felt I could use AI as my secretary and leave it alone to do whatever it wanted.

Studying the humanities gave me a particular edge in the AI job market

I think there will be more of a premium on how we think, not what we know.

When it comes to writing, it's about being able to articulate the reasons behind your choices. Why this phrase and not that? Why put this insight here and not there? There's a rationale behind your judgment.

In job interviews, the question of how you use AI at work will inevitably come up now, and your AI output is only as good as your input. Good writers can get better, but bad writers can get worse, and just because you're writing fluently doesn't mean you're writing well. Studying literature so closely helped me reflect more on questions instead of answers.

This is the time to brag about how you develop your own sound judgment and how you use that judgment in your AI inputs. As good as it is to develop hard skills, it's just as important, now more than ever, to focus on soft skills too.

Do you have a story to share about your writing job in tech or AI? Contact this reporter, Agnes Applegate, at aapplegate@businessinsider.com.